Tesla 2012 Model S Touchscreen Technology
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W3C Emotion Markup Language - EmotionML
W3C has published the first public working draft of the Emotion Markup Language (EmotionML).
Emotion Markup Language is a language meant to express emotions in three main ways in today’s computer-based communication:
- annotating data,
- the recognition of emotional-based states, and
- generating emotion-related system behavior.
According to the language authors, EmotionML can have applications in various fields like:
- Opinion mining / sentiment analysis in Web 2.0, to automatically track customer's attitude regarding a product across blogs;
- Affective monitoring, such as ambient assisted living applications for the elderly, fear detection for surveillance purposes, or using wearable sensors to test customer satisfaction;
- Character design and control for games and virtual worlds;
- Social robots, such as guide robots engaging with visitors;
- Expressive speech synthesis, generating synthetic speech with different emotions, such as happy or sad, friendly or apologetic;
- Emotion recognition (e.g., for spotting angry customers in speech dialog systems);
- Support for people with disabilities, such as educational programs for people with autism.
Some examples here:
